Role of coronary artery calcium score for risk stratification in patients with non significant perfusion defects by myocardial perfusion single photon emission computed tomography

Background: Myocardial perfusion scintigraphy (MPS) is an important diagnostic tool in the management of patients with suspected coronary artery disease (CAD). However, the presence of mild-moderate perfusion defects can be challenging and may lead to unnecessary cardiac catheterization. The coronary artery calcium (CAC) score is a method with excellent negative predictive value in the evaluation of CAD, but its role in this setting of patients has not been fully defined. This study aims to assess the potential of CAC in the prediction of cardiac adverse events in patients with suspected CAD with mild-moderate perfusion by MPS. Methods and results: We conducted a cohort study in 292 patients presenting with mild-moderate perfusion defects by MPS undergoing a CAC measurement. The patients were followed for a mean of 34 months for occurrence of major cardiac adverse events (MACE). The majority of the patients (64.7%) were male, mean age of 57.9 ± 12.6 years. During the follow-up there were 37 MACE. In multivariate Cox proportional hazards model, hypertension and CAC were independent predictors of MACE. The patients who presented a CAC score of ≥ 400 had a high risk of MACE (HR 20.9; 95% CI 4.79–91.42; p < 0.001). Kaplan-Meier curve showed a significant difference (log-rank c2; p< 0.001) using CAC scores in predicting MACE. Conclusions: CAC score carries a powerful prognostic value in predicting adverse events in patients with suspected CAD and MPS with mild-moderate perfusion defects and may be useful in risk stratification of these patients

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Tomografia de coronárias na predição de eventos adversos em pacientes com suspeita de coronariopatia

FUNDAMENTO: Embora os estudos tenham demonstrado uma alta precisão diagnóstica da Tomografia Coronariana Multidetectores (TCMD) na detecção de Doença Arterial Coronariana (DAC), os dados sobre o valor prognóstico desse método são limitados. OBJETIVO: Determinar o valor da TCMD na predição de desfechos clínicos adversos em pacientes com suspeita de DAC. MÉTODOS: Foram avaliados prospectivamente 355 pacientes consecutivos (idade média de 58 ± 12 anos; 252 do sexo masculino), com suspeita de DAC, entre janeiro de 2008 e junho de 2010. DAC pela TCMD foi definida como a presença de placa de ateroma observada em qualquer artéria coronariana. Os desfechos clínicos adversos foram definidos como morte, infarto do miocárdio, angina instável ou revascularização miocárdica. RESULTADOS: Durante um acompanhamento médio de 15 meses, houve 55 eventos cardíacos. Na análise multivariada utilizando-se o modelo de regressão de Cox, classe funcional da NYHA, diabetes, tabagismo e aterosclerose à TCMD foram preditores de desfecho clínico adverso, e a presença de placa à TCMD apresentou forte associação com desfechos clínicos adversos, independentemente de fatores de risco estabelecidos para DAC (hazard ratio 5,29; intervalo de confiança de 95%, 2,4 - 11,8; p < 0,001). CONCLUSÃO: A presença de aterosclerose demonstrada pela TCMD em pacientes com suspeita de DAC apresentou valor independente e incremental aos fatores de risco convencionais na predição de desfechos clínicos adversos, podendo se mostrar útil na estratificação de risco desses pacientes

Angiotomografia coronariana multislice na avaliação da origem anômala das artérias coronarianas

Fundamento: A origem anômala das artérias coronarianas é uma entidade relativamente rara, podendo se apresentar de várias formas clínicas e evoluir de forma adversa. A angiotomografia multislice das artérias coronarianas vem ganhando espaço na prática clínica diária, representando importante método propedêutico, com grande potencial na avaliação anatômica dessas artérias. Objetivo: O objetivo deste estudo é descrever os achados angiotomográficos e a evolução de pacientes com origem anômala das artérias coronarianas. Métodos: Durante o período de janeiro de 2008 a março de 2011, foram avaliados consecutivamente 404 pacientes encaminhados para realização de angiotomografia das coronárias por diversos motivos, com tempo médio de seguimento de 21 meses. Resultados: Nove pacientes (2,2%) apresentaram origem anômala das artérias coronárias, sendo quatro com origem anômala da artéria circunflexa (Cx) em Coronária Direita (CD), dois com origem anômala da CD (um com origem de CD em Cx, e um com origem de CD em seio coronariano esquerdo), um paciente com tronco coronariano único (descendente anterior e Cx saindo do seio coronariano esquerdo), um com trajeto anômalo do tronco da coronária esquerda entre aorta e artéria pulmonar e um paciente apresentando tronco coronariano esquerdo originando-se do seio coronariano direito. Dos pacientes avaliados, um paciente recebeu um cardiodesfibrilador implantável; um paciente evoluiu com morte súbita durante internação hospitalar; e os outros não tiveram intercorrências. Conclusão: A angiotomografia multislice das coronárias representa método propedêutico minimamente invasivo que possibilita detectar a origem, o curso e terminação das anomalias de origem das artérias coronarianas com excelente acurácia, possibilitando o correto diagnóstico e auxiliando no planejamento terapêutico